A switching models gain rotation algorithm for tracking a maneuvering target

Abstract Tracking of a target maneuvering in a 3D space is studied. Based on switching models describing the maneuver and/or nonmaneuver scenarios, the so-called switching models gain rotation algorithm (SMGRA) is presented. The proposed scheme incorporates a simple Kalman filter and a detector. Further it switches between the above two scenarios according to the detector's decision of target maneuverability. In both situations, the required gains of the algorithm are computed for uncoupled filters. A comparison study of the proposed scheme and several well-known filters is carried out for typical target trajectories in a naval gun fire control system. The tracking errors for the present algorithm are nearly identical to the extended Kalman filter (EKF), while the computation requirements are reduced by a factor of nine.

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